Home /Search
Search datasets
We have found 68 datasets for the keyword " helicopter". You can continue exploring the search results in the list below.
Datasets: 103,380
Contributors: 42
Results
68 Datasets, Page 1 of 7
Winter surface conditions – Helicopter survey
Mean 2014 to 2023 winter surface conditions in the Estuary and Gulf of St. Lawrence. The survey has been taking place every year in March. Surface conditions are described by temperature, salinity and nutrient concentration (mmol/m3) interpolated on a 10km x 10km grid.PurposeSince many years, the Department of Fisheries and Oceans Canada (DFO) has been conducting annual surveys, at different periods of the year, in the Estuary and Gulf of St. Lawrence, each having many objectives including assessment of environmental conditions.However, these surveys, carried out on vessels, did not cover the winter period. Since 1996, a regional monitoring program, conducted by Maurice-Lamontagne Institute scientists, is taking place in order to fill this gap. The annual helicopter survey is undertaken in the beginning of March to evaluate physical oceanographic conditions of waters up to 200 m and surface water nutrient contains.These surveys are usually sampled from a Canadian Coast Guard helicopter but from an icebreaker in 2016 and 2017.Data from regional monitoring programs are combined with the ones from the Atlantic Zone Monitoring Program (AZMP) to produce annual reports (physical, biological and a Zonal Scientific Advice) which are available at the Canadian Science Advisory Secretariat (CSAS), (http://www.dfo-mpo.gc.ca/csas-sccs/index-eng.htm).Galbraith, P.S., Chassé, J., Caverhill, C., Nicot, P., Gilbert, D., Pettigrew, B., Lefaivre, D., Brickman, D., Devine, L., and Lafleur, C. 2017. Physical Oceanographic Conditions in the Gulf of St. Lawrence in 2016. DFO Can. Sci. Advis. Sec. Res. Doc. 2017/044. v + 91 p.Devine, L., Scarratt, M., Plourde, S., Galbraith, P.S., Michaud, S., and Lehoux, C. 2017. Chemical and Biological Oceanographic Conditions in the Estuary and Gulf of St. Lawrence during 2015. DFO Can. Sci. Advis. Sec. Res. Doc. 2017/034. v + 48 pp.Additional InformationWater sampling for nutrient analysis is done from Niskin bottles according to AZMP sampling protocol:Mitchell, M. R., Harrison, G., Pauley, K., Gagné, A., Maillet, G., and Strain, P. 2002. Atlantic Zonal Monitoring Program sampling protocol. Can. Tech. Rep. Hydrogr. Ocean Sci. 223: iv + 23 pp.Nitrate titration is carried out according to the following method ((nitrite + nitrate) – nitrite): Nitrite + nitrate: Armstrong, FAJ, CR Stearns, JDH Strickland (1967) The measurement of upwelling and subsequent biological processes by means of the Technicon Autoanalyzer and associated equipment. Deep-Sea Res 14(3) 381-389.Nitrite: American Public Health Assoc. (1971) Standard Methods for the examination of water and wastewater. 13th edition, pp. 240-243, Washington D.C.Phosphate: Murphy, J, JP Riley (1962) A modified single solution method for the determination of phosphate in natural waters. Anal Chim. Acta 27 : 30.Silicate: Strickland, JDH, TR Parsons (1972) A Practical Handbook of Seawater Analysis, second edition. Fish Res Board Can, Bulletin 167, 310 pp.The surface water temperature and salinity are determined from CTD profiles.
Winter conditions in the Saguenay and St. Lawrence – Helicopter survey (raw data)
For several years, Fisheries and Oceans Canada (DFO) has conducted annual ship-based surveys in the St. Lawrence Estuary and the Gulf of St. Lawrence to assess environmental conditions and support a range of scientific objectives. Because these surveys do not extend into winter, a complementary regional monitoring program has been implemented annually in early March since 1996. This monitoring program is typically carried out using a Canadian Coast Guard helicopter, although in 2016 and 2017 it was conducted aboard an icebreaker. The winter survey measures physical oceanographic conditions to approximately 200 m depth along with nutrient concentrations in the surface layer. Starting in 2023, the survey was expanded to include phytoplankton measurements.Data from this program are integrated with those from the Atlantic Zone Monitoring Program (AZMP) to produce annual reports including physical (CTD) and biological (bottle) assessments and a Zonal Scientific Advisory for the Gulf of St. Lawrence which can be found on the following webpage under the given year : Atlantic Zone Monitoring Program (AZMP) - https://www.dfo-mpo.gc.ca/science/data-donnees/azmp-pmza/index-eng.htmlHere, raw data on physical oceanographic conditions, nutrient concentrations and phytoplankton collected during the winter survey are presented. This publication contains three data files: ‘donnees_data_heli_CTD’ which contains links per year to the CTD data, ‘donnees_data_heli_bottle_bouteille’, which contains nutrient data, and ‘donnees_data_heli_phyto’ which contains phytoplankton data. The dataset covers the period of 1996 to present and is updated annually as new data becomes available. Note: this publication contains raw data, please use with caution or contact the data management team (gddaiss-dmsaisb@dfo-mpo.gc.ca) if you have any questions. For further methodological information please see the supporting document for citations.For mean winter surface conditions in the Estuary and Gulf of St. Lawrence please see the following related publication Winter surface conditions – Helicopter survey - Open Government Portal - https://open.canada.ca/data/en/dataset/9a42d891-fc9c-44b3-8fba-9d9ed96890cf
Pan-Canadian Wind Integration Study: Wind speed at 100 m
The wind speed layer shows the modeled wind speed [m/s] at a height of 100 m above ground level, at each grid point, averaged over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 0.5 m/s each. Further details including data at different heights, and for individual years, can be obtained by clicking on the dot representing the grid point location.
Characterisation of intertidal habitat types in the Musquash Marine Protected Area using aerial drone photography
Appropriately responding to a marine pollution event, especially hydrocarbon spills, often requires detailed knowledge of local habitat and environmental features. Access to high resolution habitat profiles can support effective spill response plans, informing discussions on protection priorities or expediated remediation. However, marine habitat composition data for a given area is often lacking due to the high cost and effort of conducting such surveys across the vast shorelines of Canada. The purpose of this study was to develop methodologies for conducting rapid and affordable habitat compositions in the marine environment via drone aerial photography; an emerging technology for conducting high resolution surveys. We used the Musquash Marine Protected Area (MPA; Musquash, NB, Canada) as a model system as it contains a diverse range of habitat types, is a region of conservation concern in Atlantic Canada, and is in close proximity to oil and gas handling facilities and vessel traffic. The MPA consists of a tidal river that outflows into the Bay of Fundy. Using Geographic Information System (GIS) software, we subdivided the MPA into several transects (N =61) that were used to generate flight plans for a Remotely Piloted Aircraft System (RPAS; DJI Mavic 3 Enterprise, DJI ). The RPAS was flown (6 m s-1) at an altitude of 100m (Above ground level) taking images with side (70%) and front (80%) overlap. Resulting images were then compiled as an orthomosaic map using Pix4Dmatic software. These data will be used to inform marine spill response planning in the region, to support marine planning and conservation, and Marine Protected Area (MPA) monitoring efforts as well as develop further methodological approaches for conducting RPAS-based habitat surveys in other coastal systems within Atlantic Canada. Cite this data as: Lawrence MJ, Coates PJ, Matheson K, Hamer A. Characterisation of intertidal habitat types in the Musquash Marine Protected Area using aerial drone photography. Published November 2025. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B.
DND Air Weapons Range
The DND Air Weapons Range dataset is comprised of all the polygons that represent the Air Weapons Range established by the Department of National Defence, Government of Canada, within the Province of Alberta. Air Weapons Range is the area used as a practice and firing range with restricted access provisions and which is owned and operated by the Department of National Defence, Government of Canada.
Air Quality Health Index Observations
The Air Quality Health Index (AQHI) is a scale designed to help quantify the quality of the air in a certain region on a scale from 1 to 10. When the amount of air pollution is very high, the number is reported as 10+. It also includes a category that describes the health risk associated with the index reading (e.g. Low, Moderate, High, or Very High Health Risk). The AQHI is calculated based on the relative risks of a combination of common air pollutants that are known to harm human health, including ground-level ozone, particulate matter, and nitrogen dioxide. The AQHI formulation captures only the short term or acute health risk (exposure of hour or days at a maximum). The formulation of the AQHI may change over time to reflect new understanding associated with air pollution health effects. The AQHI is calculated from data observed in real time, without being verified (quality control).
Gilpinia hercyniae
Historical finds of Gilpinia hercyniae
2014 Aerial Oblique Imagery Shoreline of Lake Simcoe
This oblique aerial imagery covers the main shoreline of Lake Simcoe and four of its islands (Georgina, Thorah, Fox and Snake). Taiga Air Services Ltd. acquired the imagery from November 16 to December 2, 2014. To collect the data, they flew a helicopter 160 metres from shore and 100 metres above the water. Overlapping oblique images are available in the following formats: * TIFF (120 Mb) * JPG (3.5 Mb) * a photo centre point shapefile, which you can use to link to the images from GIS software Imagery is available as one packaged product for the Lake Simcoe shoreline. To order the data, follow our ordering instructions or contact geospatial@ontario.ca. Imagery will be used to investigate the potential of using oblique imagery to complement existing ortho imagery. This will: * help improve interpretation of shoreline features * update shoreline mapping The imagery also provides a snapshot in time, capturing the current condition of the Lake Simcoe shoreline. The following partners were involved with the project: * Ontario Ministry of Natural Resources and Forestry * Ontario Ministry of the Environment and Climate Change * Environment Canada * Severn Sound Environmental Association * Nottawasaga Valley Conservation Authority * Lake Simcoe Region Conservation Authority * County of Simcoe
Multispecies Dive Pilot Surveys
The Department of Fisheries and Oceans (DFO) Science Branch has designed a multispecies dive survey protocol to provide unbiased, coast wide monitoring of benthic invertebrate stocks (as may be required under the updated Fisheries Act) and associated habitat information for a suite of benthic marine invertebrate species (Green (Strongylocentrotus droebachiensis), Purple (S. purpuratus) and Red Sea Urchin (Mesocentrotus franciscanus), Geoduck (Panopea generosa), Giant Red Sea Cucumber (Apostichopus californicus), Northern Abalone (Haliotis kamtschatkana), and Sunflower Sea Star (Pycnopodia helianthoides)). Based on information available at this time, the proposed survey design can provide estimates of coast wide stock status for Red Sea Urchin and Giant Red Sea Cucumber, and relative abundance indices for Geoduck, Green Sea Urchin, Purple Sea Urchin, Northern Abalone and Sunflower Sea Star.The new protocol was tested through a series of pilot surveys conducted on a subset of areas of the BC coast each September from 2016-2021. Design of the pilot surveys was based on previous dive survey data and experience and demonstrated the practical feasibility of the protocol, while also gathering preliminary information to guide recommendations about the statistical design of the survey.The dataset consists of a relational database containing tables representing each component of the survey methodology. The primary component of the survey is a transect location. Along each transect, systematically spaced quadrats are sampled, and on each quadrat, substrate observations are recorded, multiple species of algae are recorded, and multiple individual invertebrates are measured or counted. The tables are linked by transect number and quadrat number.
Regional Deterministic Air Quality Analysis(RDAQA)
Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10.
Tell us what you think!
GEO.ca is committed to open dialogue and community building around location-based issues and topics that matter to you.
Please send us your feedback